demean: Demean standardize
In lixun910/rgeoda: R Library for Spatial Data Analysis
Description
Usage
Arguments
Value
Examples
Description
The mean for each variable is subtracting from each observation resulting in mean zero.
Usage
1
Arguments
data
An input data for median absolute deviation
Value
A data array
Examples
1
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3
4
5
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7
guerry_path <- system.file("extdata", "Guerry.shp", package = "rgeoda")
guerry <- geoda_open(guerry_path)
guerry_df <- as.data.frame(guerry) # use as data.frame
crm_prs <- guerry_df['Crm_prs'][,1] # get values of variable "crm_prs"
crm_prp <- guerry_df['Crm_prp'][,1] # get values of variable "crm_prp"
data <- list(crm_prs, crm_prp)
demean(data)
lixun910/rgeoda documentation built on March 19, 2021, 3:49 p.m.
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Description Usage Arguments Value Examples
Description
The mean for each variable is subtracting from each observation resulting in mean zero.
Usage
1 |
Arguments
data |
An input data for median absolute deviation |
Value
A data array
Examples
1 2 3 4 5 6 7 | guerry_path <- system.file("extdata", "Guerry.shp", package = "rgeoda")
guerry <- geoda_open(guerry_path)
guerry_df <- as.data.frame(guerry) # use as data.frame
crm_prs <- guerry_df['Crm_prs'][,1] # get values of variable "crm_prs"
crm_prp <- guerry_df['Crm_prp'][,1] # get values of variable "crm_prp"
data <- list(crm_prs, crm_prp)
demean(data)
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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